D8. 1 EOSC-Life Methodology framework to enhance reproducibility within EOSC-Life–revised version

摘要: The original scope of task 8.3 is to develop a framework to assess the impact on reproducibility of the availability of life-science open data and workflows in the cloud. Such a framework should include the understanding of the tools and services produced and made available, the gaps they are filling up and their expected impact. A great part of the activities within EOSC-Life is actually related to reproducibility and provides in several ways tools that will have an impact. We describe here such activities and explain why and how they will have an impact on reproducibility in life sciences. In addition, for each action, we provide an indication of how we could measure its impact in practical ways, using adequate proxies. For these reasons, we changed the title of the deliverable, from “framework to assess ...” to “framework to enhance reproducibility”. First of all, we reasoned on what can be the contribution of open science to improve the reproducibility of research. Publicly sharing data, protocols, tools and computational workflows makes it possible to compare or combine the data and outcomes from different studies within a discipline as well as integrate data across scientific domains. It allows conclusions to be validated and possibly corrected as well as being reinforced by meta-analyses. Replication data and test/training data can also be used in many applications to contribute to reproducible research. Moreover, new hypotheses, different from the original aims of the study, can be explored. Datasets can be re-used to develop and test new methods, to conduct scientific and technical benchmarking activities and to support training activities. Therefore …